Ultra-lightweight virtual machine-based cloud computing dynamic resource scheduling system and method

Abstract

The invention discloses an ultra-lightweight virtual machine-based cloud computing dynamic resource scheduling system and method. The method comprises the steps of collecting a virtual resource index of each application instance from a cloud computing environment, and predicting the time when a virtual resource of one application instance reaches a usage rate upper limit by using a prediction function with a minimum error as a prediction function of the application instance through a fitting function; performing task ranking on each application instance subjected to resource dynamic allocation according to the predicted upper limit time and a signed SLA protocol; and scheduling the application instance selected in a task queuing module to a demander according to a ranking sequence, and recovering the virtual resource, of which the usage rate already exceeds a lower limit, of an application, thereby realizing resource dynamic allocation. According to the system and the method, the resource balanced use is realized more efficiently, satisfactory load balancing is achieved under low consumption, and the comprehensive efficiency of resource scheduling is improved.

Description

technical field [0001] The invention relates to a cloud computing dynamic resource scheduling system and method based on an ultra-light virtual machine. Background technique [0002] Before the development of the ultra-lightweight virtual machine Docker (hereinafter referred to as Docker), as we know, in order to conduct an on-machine training for company personnel, it is necessary to find a suitable computer room, purchase the necessary equipment, and then install the required The content of the training, and then normal training can be carried out. The content of equipment and training here is the environment on which the entire training process depends, and the company's personnel and the environment are strongly related. If the environment is maintained by an operation and maintenance engineer, once the environment changes, the operation and maintenance engineer will directly need to replace equipment or training content, resulting in high operation and maintenance cost...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above problems, the present invention proposes a cloud computing dynamic resource scheduling system and method based on an ultra-light virtual machine, and the present invention can effectively solve the effect that resources of virtual machines in the prior art can be schedulable and redistributed Unsatisfactory, low resource utilization and other issues

Images